S. Mittal and F. Frayman, Towards a generic model of configuration tasks, Proceedings of IJCAI, pp.1395-1401, 1989.

T. Soininen, J. Tiihonen, T. Mä-nnistö, and R. Sulonen, Towards a general ontology of configuration, AI EDAM, vol.12, issue.04, pp.357-372, 1998.
DOI : 10.1017/S0890060498124083

K. Schierholt, Process configuration ??? combining the principles of product configuration and process planning, Artificial Intelligence for Engineering Design Analysis and Manufacturing, vol.15, issue.5, pp.411-424, 2001.
DOI : 10.1007/978-0-387-35569-6_48

P. T. Helo, Q. L. Xu, S. J. Kyllonen, and R. J. Jiao, Integrated Vehicle Configuration System???Connecting the domains of mass customization, Computers in Industry, vol.61, issue.1, pp.44-52, 2010.
DOI : 10.1016/j.compind.2009.07.006

D. Steward and D. Tate, Integration of axiomatic design and project planning, Proceedings of first International Conference on Axiomatic Design, pp.285-289, 2000.

L. L. Zhang, E. Vareilles, and M. Aldanondo, configuration, International Journal of Production Research, vol.48, issue.6, pp.465-478, 2013.
DOI : 10.1080/00207540802585329

URL : https://hal.archives-ouvertes.fr/hal-00846422

P. Pitiot, M. Aldanondo, E. Vareilles, P. Gaborit, M. Djefel et al., Concurrent product configuration and process planning, towards an approach combining interactivity and optimality, International Journal of Production Research, vol.38, issue.1, pp.524-541, 2013.
DOI : 10.1007/s00170-007-1089-6

D. Mailharro, A classification and constraint-based framework for configuration, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.12, issue.4, pp.383-397, 1998.

U. Junker, Configuration, Handbook of Constraint Programming, pp.835-875, 2006.
DOI : 10.1016/S1574-6526(06)80028-3

R. Bartá-k, M. Salido, and F. Rossi, Constraint satisfaction techniques in planning and scheduling, Journal of Intelligent Manufacturing, vol.10, issue.4, pp.5-15, 2010.
DOI : 10.1007/978-3-662-04131-4

M. Koubarakis, Temporal CSPs, Handbook of Constraint Programming, pp.663-697, 2006.
DOI : 10.1016/S1574-6526(06)80023-4

M. Aldanondo, E. Vareilles, and M. , Towards an association of product configuration with production planning, International Journal of Mass Customisation, vol.3, issue.4, pp.316-332, 2010.
DOI : 10.1504/IJMASSC.2010.037648

C. Bessiere, Constraint Propagation, Handbook of Constraint Programming, pp.29-70, 2006.
DOI : 10.1016/S1574-6526(06)80007-6

URL : https://hal.archives-ouvertes.fr/lirmm-00117128

F. Benhamou and L. Granvilliers, Continuous and Interval Constraints, Handbook of Constraint Programming, pp.569-603, 2006.
DOI : 10.1016/S1574-6526(06)80020-9

URL : https://hal.archives-ouvertes.fr/hal-00480814

M. Aldanondo, E. Vareilles, K. Hadj-hamou, and P. Gaborit, Aiding design with constraints: an extension of quad trees in order to deal with piecewise functions, International Journal of Computer Integrated Manufacturing, vol.14, issue.4, pp.353-365, 2008.
DOI : 10.1061/(ASCE)0887-3801(1999)13:1(23)

URL : https://hal.archives-ouvertes.fr/hal-00452964

S. C. Brailsford, C. N. Potts, and B. M. Smith, Constraint satisfaction problems: Algorithms and applications, European Journal of Operational Research, vol.119, issue.3, pp.557-581, 1999.
DOI : 10.1016/S0377-2217(98)00364-6

J. Amilhastre, H. Fargier, and P. Marquis, Consistency restoration and explanations in dynamic CSPs???Application to configuration, Artificial Intelligence, vol.135, issue.1-2, pp.199-234, 2002.
DOI : 10.1016/S0004-3702(01)00162-X

URL : http://doi.org/10.1016/s0004-3702(01)00162-x

L. Li, L. Chen, Z. Huang, and Y. Zhong, Product configuration optimization using a multiobjective genetic algorithm, The International Journal of Advanced Manufacturing Technology, vol.13, issue.7, pp.20-29, 2006.
DOI : 10.1016/S0142-694X(01)00004-7

H. Missbauer and R. Uzsoy, Optimization models of production planning problems, Planning Production and Inventories in the Extended Enterprise, pp.437-507, 2011.

E. Vareilles, M. Aldanondo, and P. Gaborit, Evaluation and design: a knowledge-based approach, International Journal of Computer Integrated Manufacturing, vol.20, issue.7, pp.639-653, 2007.
DOI : 10.1145/122388.1062342

L. Hvam, S. Pape, and M. K. Nielsen, Improving the quotation process with product configuration, Computers in Industry, vol.57, issue.7, pp.607-621, 2006.
DOI : 10.1016/j.compind.2005.10.001

M. Kopisch and A. , Configuration of a passenger aircraft cabin based on conceptual hierarchy, constraints and flexible control, Lecture Notes in Computer Science, vol.604, pp.421-430, 1992.
DOI : 10.1007/BFb0024994

A. Falkner and G. , Configuration requirements from railway interlocking stations, Proceeding of the IJCAI Configuration Workshop, 2001.

D. Sabin and R. , Product configuration frameworks-a survey, IEEE Intelligent Systems, vol.13, issue.4, pp.42-49, 1998.
DOI : 10.1109/5254.708432

O. Lhomme, Consistency techniques for numerical CSPs, Proceedings of IJCAI, pp.232-238, 1993.

T. Bäck, Evolutionary Algorithms in Theory and Practice, 1996.

E. Mezura-montes and C. C. Coello, Constraint-handling in nature-inspired numerical optimization: Past, present and future, Swarm and Evolutionary Computation, vol.1, issue.4, pp.173-194, 2011.
DOI : 10.1016/j.swevo.2011.10.001

T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Transactions on Evolutionary Computation, vol.4, issue.3, pp.284-294, 2000.
DOI : 10.1109/4235.873238

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5103

T. Takahama, S. Sakai, and N. Iwane, Constrained optimization by the epsilon constrained hybrid algorithm of particle swarm optimization and genetic algorithm, Lecture Notes in Artificial Intelligence, vol.3809, pp.389-400, 2005.

T. Takahama and S. Sakai, Constrained optimization by alpha-constrained genetic algorithm (alpha GA, Systems and Computers in Japan (35), pp.11-22, 2004.
DOI : 10.1002/scj.10562

W. Gong and Z. Cai, A multiobjective differential evolution algorithm for constrained optimization, Proceedings of IEEE Congress on Evolutionary of Congress on Evolutionary Computation, pp.181-188, 2008.

T. Ray, H. K. Singh, A. Isaacs, and W. Smith, Feasibility driven evolutionary algorithm for constrained optimization, in: Constraint-Handling in Evolutionary Optimization, Studies in Computational Intelligence Series, pp.145-165, 2009.

K. Deb, An efficient constraint handling method for genetic algorithms, Computer Methods in Applied Mechanics and Engineering, vol.186, issue.2-4, pp.311-338, 2000.
DOI : 10.1016/S0045-7825(99)00389-8

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.7291

E. Mezura-montes, C. A. Coello-coello, and E. I. Tun-morales, Simple Feasibility Rules and Differential Evolution for Constrained Optimization, Proceedings of the 3rd Mexican International Conference on Artificial Intelligence, pp.2972-707, 2004.
DOI : 10.1007/978-3-540-24694-7_73

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.3294

Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, 1996.

M. Schoenauer and Z. Michalewicz, Evolutionary computation at the edge of feasibility, Proceedings of the 4th Parallel Problem Solving from Nature, pp.245-254, 1996.
DOI : 10.1007/3-540-61723-X_989

R. Kowalczyk, Constraint consistent genetic algorithms, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), pp.343-348, 1997.
DOI : 10.1109/ICEC.1997.592333

URL : https://researchbank.swinburne.edu.au/file/ffc7931b-6fae-4705-a19d-ca38d5e9abd0/1/PDF (Published version).pdf

E. Zitzler, M. Laumanns, L. Thiele, and S. , Improving the Strength Pareto Evolutionary Algorithm, Swiss Federal Institute of Technology (ETH), 2001.

K. Zielinski and R. Laur, Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization, pp.111-138, 2008.
DOI : 10.1007/978-3-540-68830-3_4

J. Brest, V. Zumer, and M. S. Maucec, Self-adaptative differential evolution algorithm in constrained real-parameter optimization, Proceedings of 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp.919-926, 2006.
DOI : 10.1109/cec.2006.1688311

L. Cagnina, S. Esquivel, and C. , Coello-Coello, A bi-population PSO with a shakemechanism for solving constrained numerical optimization, Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp.670-676, 2007.
DOI : 10.1109/cec.2007.4424535

URL : http://www.cs.cinvestav.mx/~constraint/papers/cec07-leticia-final.pdf

E. Zitzler and L. Thiele, Multiobjective optimization using evolutionary algorithms ??? A comparative case study, Proceedings of 5th International Conference on Parallel Problem Solving from Nature, pp.292-301, 1998.
DOI : 10.1007/BFb0056872

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.7456

E. Mezura-montes and C. A. , A Simple Multimembered Evolution Strategy to Solve Constrained Optimization Problems, IEEE Transactions on Evolutionary Computation, vol.9, issue.1, pp.1-17, 2005.
DOI : 10.1109/TEVC.2004.836819

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.2595

G. Fleishanderl, G. Friedrich, A. Haselbock, H. Schreiner, and M. Stumptner, Configuring large systems using generative constraint satisfaction, IEEE Intelligent Systems, vol.13, issue.4, pp.59-68, 1998.
DOI : 10.1109/5254.708434

G. Hong, D. Xue, and Y. Tu, Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production, Computers in Industry, vol.61, issue.3, pp.270-279, 2010.
DOI : 10.1016/j.compind.2009.09.006

L. Hvam, Mass customisation of process plants, International Journal of Mass Customisation, vol.1, issue.4, pp.445-462, 2010.
DOI : 10.1504/IJMASSC.2006.010444